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首页> 外文期刊>Hydrological sciences journal >A spatially distributed Clark's unit hydrograph based hybrid hydrologic model (Distributed-Clark)
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A spatially distributed Clark's unit hydrograph based hybrid hydrologic model (Distributed-Clark)

机译:基于空间分布的Clark单位水位图的混合水文模型(Distributed-Clark)

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A hybrid hydrologic model (Distributed-Clark), which is a lumped conceptual and distributed feature model, was developed based on the combined concept of Clark's unit hydrograph and its spatial decomposition methods, incorporating refined spatially variable flow dynamics to implement hydrological simulation for spatially distributed rainfall-runoff flow. In Distributed-Clark, the Soil Conservation Service (SCS) curve number method is utilized to estimate spatially distributed runoff depth and a set of separated unit hydrographs is used for runoff routing to obtain a direct runoff flow hydrograph. Case studies (four watersheds in the central part of the USA) using spatially distributed (Thiessen polygon-based) rainfall data of storm events were used to evaluate the model performance. Results demonstrate relatively good fit to observed streamflow, with a Nash-Sutcliffe efficiency (E-NS) of 0.84 and coefficient of determination (R-2) of 0.86, as well as a better fit in comparison with outputs of spatially averaged rainfall data simulations for two models including HEC-HMS.
机译:基于Clark的单位水位图及其空间分解方法的组合概念,开发了混合水文模型(Distributed-Clark),该模型是集总的概念和分布式特征模型,并结合了精细的空间可变流动力学来实现空间分布的水文模拟降雨径流。在Distributed-Clark中,土壤保护局(SCS)曲线编号方法用于估算空间分布的径流深度,而一组分离的单位水位图用于径流路径选择以获得直接径流水位图。使用风暴事件的空间分布(基于蒂森多边形)降雨数据的案例研究(美国中部的四个流域)被用来评估模型的性能。结果表明,纳什-萨克利夫效率(E-NS)为0.84,测定系数(R-2)为0.86,相对于观测到的水流具有较好的拟合度,并且与空间平均降雨数据模拟的输出相比,拟合度更高适用于包括HEC-HMS在内的两种型号。

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